4th Day of Teacher Training in Greece

This fourth day of teacher training focused on integrating AI-powered 3D design tools into STEM education. The goal was to introduce educators to innovative software that enhances modeling, visualization, and hands-on learning, helping students explore complex concepts through creative and inquiry-based activities.

 

Seminar Session: How AI and 3D design tools support personalised, inquiry-based STEM learning 

The day began with an engaging seminar exploring how AI-powered 3D design tools can transform STEM education by fostering personalized, inquiry-based learning experiences. The presentation emphasized the following key points:

- The Role of AI in 3D Design for STEM
AI enhances 3D modeling by automating complex tasks, offering intelligent suggestions, and enabling rapid prototyping. It supports teachers and students in creating customized models aligned with specific inquiry questions or project needs.

- Support for Inquiry-Based Learning  

AI-driven 3D tools empower students to explore concepts through hands-on modeling, encouraging experimentation, problem-solving, and critical thinking. These tools support iterative design processes, helping learners understand structural and mechanical principles interactively.

- Advantages of AI and 3D Design Integration  

• Rapid creation of accurate, complex models without advanced CAD skills  
• Personalization of models according to individual interests and inquiry questions  
• Visualization of abstract concepts, making them accessible and engaging  
• Facilitating collaborative learning and peer review through shared models

- Examples of Applications
The presentation showcased how AI-assisted 3D modeling can be used in engineering design, physics experiments, and robotics projects, allowing students to prototype parts, simulate mechanical systems, and visualize scientific phenomena.

This seminar set the foundation for understanding how AI-enabled 3D tools can promote active, inquiry-based STEM learning tailored to individual student needs.

 

Workshop Session: Learning by doing: Create a simple 3D model for a STEM activity

Following the seminar, participants engaged in a workshop where they applied their knowledge to create a basic 3D model relevant to a STEM activity. The activity involved:

- Step-by-Step Modeling  

Teachers used an accessible AI-assisted 3D design platform (e.g., Tinkercad or Onshape) to build a simple model, such as a mechanical part or a scientific apparatus component. They:

• Chose a specific inquiry-based task (e.g., designing a bridge, a gear, or a scientific model).
• Used AI features to generate initial shapes or suggest modifications.
• Customized the model by resizing, combining shapes, and adding details.

- Exploration of AI Features  
Participants experimented with AI tools that:

• Automate repetitive tasks (e.g., aligning parts, creating patterns).
• Suggest design improvements.
• Enable quick iterations to refine models.

- Application in Classroom Context  

Teachers reflected on how to incorporate this modeling activity into their lessons, emphasizing:

• Personalization based on student interests.
• Inquiry-driven tasks where students design solutions to real-world problems.
• Opportunities for collaboration and peer review.

The workshop aimed to demonstrate that even simple models can significantly enhance inquiry-based STEM learning while making the process accessible for teachers and students alike.

 

Discussion-Conclusion Session

In the final discussion session, participants reflected on how AI and 3D design tools can support personalized, inquiry-based STEM learning. They shared ideas on integrating modeling activities into their curricula to encourage student creativity, experimentation, and deeper understanding of scientific concepts. Teachers emphasized that AI accelerates model creation and fosters collaboration, making complex ideas more accessible and engaging. They also discussed challenges such as technical difficulties and the importance of scaffolding activities for diverse learners. Overall, the session reinforced the potential of AI-enhanced 3D tools to transform STEM education by promoting active, inquiry-driven learning experiences tailored to individual student needs.
Teachers summarized key takeaways, highlighting:

• The efficiency of AI in accelerating model creation and iteration.
• The importance of inquiry-driven activities that foster deeper understanding.
• Strategies for scaffolding modeling tasks for diverse learners.
• The value of collaborative design and peer feedback.

The session concluded with encouragement to experiment with AI-powered 3D tools in their classrooms, share models with students, and foster a culture of innovation and creativity in STEM education.